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# Copyright 2016 The TensorFlow Authors All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
"""Gradients for operators defined in grl_ops.py."""
import tensorflow as tf
@tf.RegisterGradient("GradientReversal")
def _GradientReversalGrad(_, grad):
"""The gradients for `gradient_reversal`.
Args:
_: The `gradient_reversal` `Operation` that we are differentiating,
which we can use to find the inputs and outputs of the original op.
grad: Gradient with respect to the output of the `gradient_reversal` op.
Returns:
Gradient with respect to the input of `gradient_reversal`, which is simply
the negative of the input gradient.
"""
return tf.negative(grad)
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